49706 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 49706 Zip Code | Michigan | U.S. |
Total Housing Units | 2,430, 100% | 4,532,719 | 132,741,033 |
1 Room | 45, 1.85%, see rank | 1.24% | 1.95% |
2 Rooms | 170, 7.00%, see rank | 1.78% | 2.48% |
3 Rooms | 144, 5.93%, see rank | 7.14% | 9.13% |
4 Rooms | 443, 18.23%, see rank | 14.38% | 16.60% |
5 Rooms | 420, 17.28%, see rank | 21.00% | 20.41% |
6 Rooms | 491, 20.21%, see rank | 20.07% | 18.06% |
7 Rooms | 272, 11.19%, see rank | 13.45% | 12.27% |
8 Rooms | 191, 7.86%, see rank | 9.27% | 8.48% |
9 Rooms or More | 254, 10.45%, see rank | 11.67% | 10.60% |
Median Rooms | 5.50, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 49706 Zip Code | Michigan | U.S. |
Total Housing Units | 2,647, 100% | 4,531,958 | 131,642,457 |
1 Room | 114, 4.31%, see rank | 1.23% | 1.95% |
2 Rooms | 226, 8.54%, see rank | 1.68% | 2.36% |
3 Rooms | 162, 6.12%, see rank | 6.94% | 8.97% |
4 Rooms | 426, 16.09%, see rank | 14.40% | 16.57% |
5 Rooms | 450, 17.00%, see rank | 21.17% | 20.41% |
6 Rooms | 426, 16.09%, see rank | 20.13% | 18.25% |
7 Rooms | 367, 13.86%, see rank | 13.55% | 12.38% |
8 Rooms | 193, 7.29%, see rank | 9.29% | 8.59% |
9 Rooms or More | 283, 10.69%, see rank | 11.61% | 10.52% |
Median Rooms | 5.40, see rank | 5.70 | 5.50 |
US Census 2000 data
| 49706 Zip Code | Michigan | U.S. |
Total Housing Units | 2,449, 100% | 4,234,279 | 115,904,641 |
1 Room | 36, 1.47%, see rank | 1.18% | 2.20% |
2 Rooms | 106, 4.33%, see rank | 3.20% | 4.81% |
3 Rooms | 207, 8.45%, see rank | 7.87% | 9.84% |
4 Rooms | 363, 14.82%, see rank | 14.15% | 15.97% |
5 Rooms | 633, 25.85%, see rank | 22.63% | 20.89% |
6 Rooms | 473, 19.31%, see rank | 20.84% | 18.45% |
7 Rooms | 285, 11.64%, see rank | 13.27% | 12.06% |
8 Rooms | 191, 7.80%, see rank | 8.62% | 8.06% |
9 Rooms or More | 155, 6.33%, see rank | 8.24% | 7.70% |
Median Rooms | 5.30, see rank | 5.50 | 5.30 |
* ACS stands for U.S. Census American Community Survey. According to the U.S. Census, if the date is a range, you can interpret the data as an average of the period of time.